Netzband Steffen, Frei Johann, Weber Florian, Ignatenko Yevgeniia, Grieger Milena, Gottschalk Florian, Auer Florian, Müller Dominik, Brunner Jens O, Kramer Frank
IT-Infrastructure for Translational Medical Research, University of Augsburg, Germany.
Digital Medicine, University Hospital Augsburg, Germany.
Stud Health Technol Inform. 2025 Jun 26;328:278-282. doi: 10.3233/SHTI250719.
Data analytics is a promising strategy to improve both the decision-making of nursing management and supporting nursing research, often constrained by the lack of standardized data sets. The HL7© Fast Healthcare Interoperability Resources (FHIR) standard offers a structured approach to addressing this issue, yet accessible software solutions for nursing-related FHIR data analysis are limited. This paper introduces an open-design framework to facilitate data-driven innovations in nursing research and practice, based on current developments in the German healthcare sector, such as the development of nursing-related FHIR specifications and the telematics infrastructure for secure data exchange. We present software implementations developed within this work for secure data exchange (Kommunikation im Medizinwesen Care) and the evaluation and visualization of nursing-related FHIR resources (FHIR QR Vis and FHIR Nursing Dashboard). The feasibility of this approach was validated through two case studies at a German nursing home and a university hospital, demonstrating its potential to enhance data-driven decision-making and workflow optimization in nursing.
数据分析是一种很有前景的策略，可改善护理管理决策并支持护理研究，但往往因缺乏标准化数据集而受到限制。HL7©快速医疗保健互操作性资源（FHIR）标准提供了一种结构化方法来解决这一问题，然而，用于护理相关FHIR数据分析的可访问软件解决方案却很有限。本文基于德国医疗保健领域的当前发展情况，如护理相关FHIR规范的制定以及用于安全数据交换的远程信息处理基础设施，介绍了一个开放式设计框架，以促进护理研究和实践中的数据驱动创新。我们展示了在此项工作中开发的用于安全数据交换（医疗护理通信）以及护理相关FHIR资源评估与可视化（FHIR QR Vis和FHIR护理仪表盘）的软件实现。通过在一家德国养老院和一家大学医院进行的两个案例研究，验证了这种方法的可行性，证明了其在增强护理中数据驱动决策和工作流程优化方面的潜力。
